ArticleNature methods2020
A temporal decomposition method for identifying venous effects in task-based fMRI.
Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 52 citations in OpenAlex.
- Direct mapping of neural activity via glutamate-weighted magnetic resonance imaging.Innovation (Cambridge (Mass.)) · 2026Article
- Bridging the gap with invasive imaging: promises and challenges of a new generation of ultrahigh resolution fMRI.bioRxiv : the preprint server for biology · 2026Article
- Impact of thermal and physiological denoising on laminar functional connectivity.Scientific reports · 2026Article
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- MR perfusion source mapping depicts venous territories and reveals perfusion modulation during neural activation.Nature communications · 2025Article
- Widespread Autonomic Physiological Coupling Across the Brain-Body Axis.bioRxiv : the preprint server for biology · 2024Article
- Modeling short visual events through the BOLD moments video fMRI dataset and metadata.Nature communications · 2024Article
- Article
- High Spatiotemporal Resolution Radial Encoding Single-Vessel fMRI.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Reading reshapes stimulus selectivity in the visual word form area.bioRxiv : the preprint server for biology · 2024Article
- Reliability of task-based fMRI in the dorsal horn of the human spinal cord.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI.NPJ digital medicine · 2023Article
- Intrinsic macroscale oscillatory modes driving long range functional connectivity in female rat brains detected by ultrafast fMRI.Nature communications · 2023Article
- Cerebral blood volume sensitive layer-fMRI in the human auditory cortex at 7T: Challenges and capabilities.PloS one · 2023Article
- Cortical depth-dependent human fMRI of resting-state networks using EPIK.Frontiers in neuroscience · 2023Article
- Article
- What has vision science taught us about functional MRI?NeuroImage · 2022Article
- Non-Neural Factors Influencing BOLD Response Magnitudes within Individual Subjects.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Pre-processing of Sub-millimeter GE-BOLD fMRI Data for Laminar Applications.Frontiers in neuroimaging · 2022Article
- A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence.Nature neuroscience · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
Abstract
The spatial resolution of functional magnetic resonance imaging (fMRI) is fundamentally limited by effects from large draining veins. Here we describe an analysis method that provides data-driven estimates of these effects in task-based fMRI. The method involves fitting a one-dimensional manifold that characterizes variation in response timecourses observed in a given dataset, and then using identified early and late timecourses as basis functions for decomposing responses into components related to the microvasculature (capillaries and small venules) and the macrovasculature (large veins), respectively. We show the removal of late components substantially reduces the superficial cortical depth bias of fMRI responses and helps eliminate artifacts in cortical activity maps. This method provides insight into the origins of the fMRI signal and can be used to improve the spatial accuracy of fMRI.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.